mirror of
https://github.com/meta-llama/llama-stack.git
synced 2025-12-12 12:06:04 +00:00
refactor: use DEFAULT_VECTOR_IO_DEPS variable for chardet and pypdf
Consolidate the common vector IO dependencies (chardet, pypdf) into a single DEFAULT_VECTOR_IO_DEPS variable to reduce duplication across all vector IO provider registries and the RAG tool runtime.
This commit is contained in:
skamenan7
parent
da6e55b136
commit
6c422cadab
3 changed files with 61 additions and 74 deletions
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@ -11,6 +11,7 @@ from llama_stack.providers.datatypes import (
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ProviderSpec,
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RemoteProviderSpec,
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)
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from llama_stack.providers.registry.vector_io import DEFAULT_VECTOR_IO_DEPS
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def available_providers() -> list[ProviderSpec]:
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@ -18,9 +19,8 @@ def available_providers() -> list[ProviderSpec]:
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InlineProviderSpec(
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api=Api.tool_runtime,
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provider_type="inline::rag-runtime",
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pip_packages=[
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"chardet",
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"pypdf",
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pip_packages=DEFAULT_VECTOR_IO_DEPS
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+ [
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"tqdm",
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"numpy",
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"scikit-learn",
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@ -12,13 +12,16 @@ from llama_stack.providers.datatypes import (
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RemoteProviderSpec,
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)
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# Common dependencies for all vector IO providers that support document processing
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DEFAULT_VECTOR_IO_DEPS = ["chardet", "pypdf"]
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def available_providers() -> list[ProviderSpec]:
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return [
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InlineProviderSpec(
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api=Api.vector_io,
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provider_type="inline::meta-reference",
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pip_packages=["faiss-cpu", "chardet", "pypdf"],
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pip_packages=["faiss-cpu"] + DEFAULT_VECTOR_IO_DEPS,
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module="llama_stack.providers.inline.vector_io.faiss",
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config_class="llama_stack.providers.inline.vector_io.faiss.FaissVectorIOConfig",
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deprecation_warning="Please use the `inline::faiss` provider instead.",
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@ -29,7 +32,7 @@ def available_providers() -> list[ProviderSpec]:
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InlineProviderSpec(
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api=Api.vector_io,
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provider_type="inline::faiss",
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pip_packages=["faiss-cpu", "chardet", "pypdf"],
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pip_packages=["faiss-cpu"] + DEFAULT_VECTOR_IO_DEPS,
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module="llama_stack.providers.inline.vector_io.faiss",
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config_class="llama_stack.providers.inline.vector_io.faiss.FaissVectorIOConfig",
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api_dependencies=[Api.inference],
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@ -82,7 +85,7 @@ more details about Faiss in general.
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InlineProviderSpec(
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api=Api.vector_io,
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provider_type="inline::sqlite-vec",
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pip_packages=["sqlite-vec", "chardet", "pypdf"],
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pip_packages=["sqlite-vec"] + DEFAULT_VECTOR_IO_DEPS,
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module="llama_stack.providers.inline.vector_io.sqlite_vec",
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config_class="llama_stack.providers.inline.vector_io.sqlite_vec.SQLiteVectorIOConfig",
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api_dependencies=[Api.inference],
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@ -289,7 +292,7 @@ See [sqlite-vec's GitHub repo](https://github.com/asg017/sqlite-vec/tree/main) f
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InlineProviderSpec(
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api=Api.vector_io,
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provider_type="inline::sqlite_vec",
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pip_packages=["sqlite-vec", "chardet", "pypdf"],
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pip_packages=["sqlite-vec"] + DEFAULT_VECTOR_IO_DEPS,
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module="llama_stack.providers.inline.vector_io.sqlite_vec",
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config_class="llama_stack.providers.inline.vector_io.sqlite_vec.SQLiteVectorIOConfig",
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deprecation_warning="Please use the `inline::sqlite-vec` provider (notice the hyphen instead of underscore) instead.",
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@ -303,7 +306,7 @@ Please refer to the sqlite-vec provider documentation.
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api=Api.vector_io,
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adapter_type="chromadb",
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provider_type="remote::chromadb",
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pip_packages=["chromadb-client", "chardet", "pypdf"],
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pip_packages=["chromadb-client"] + DEFAULT_VECTOR_IO_DEPS,
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module="llama_stack.providers.remote.vector_io.chroma",
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config_class="llama_stack.providers.remote.vector_io.chroma.ChromaVectorIOConfig",
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api_dependencies=[Api.inference],
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@ -345,7 +348,7 @@ See [Chroma's documentation](https://docs.trychroma.com/docs/overview/introducti
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InlineProviderSpec(
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api=Api.vector_io,
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provider_type="inline::chromadb",
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pip_packages=["chromadb", "chardet", "pypdf"],
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pip_packages=["chromadb"] + DEFAULT_VECTOR_IO_DEPS,
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module="llama_stack.providers.inline.vector_io.chroma",
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config_class="llama_stack.providers.inline.vector_io.chroma.ChromaVectorIOConfig",
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api_dependencies=[Api.inference],
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@ -389,7 +392,7 @@ See [Chroma's documentation](https://docs.trychroma.com/docs/overview/introducti
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api=Api.vector_io,
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adapter_type="pgvector",
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provider_type="remote::pgvector",
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pip_packages=["psycopg2-binary", "chardet", "pypdf"],
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pip_packages=["psycopg2-binary"] + DEFAULT_VECTOR_IO_DEPS,
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module="llama_stack.providers.remote.vector_io.pgvector",
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config_class="llama_stack.providers.remote.vector_io.pgvector.PGVectorVectorIOConfig",
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api_dependencies=[Api.inference],
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@ -500,7 +503,7 @@ See [PGVector's documentation](https://github.com/pgvector/pgvector) for more de
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api=Api.vector_io,
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adapter_type="weaviate",
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provider_type="remote::weaviate",
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pip_packages=["weaviate-client>=4.16.5", "chardet", "pypdf"],
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pip_packages=["weaviate-client>=4.16.5"] + DEFAULT_VECTOR_IO_DEPS,
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module="llama_stack.providers.remote.vector_io.weaviate",
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config_class="llama_stack.providers.remote.vector_io.weaviate.WeaviateVectorIOConfig",
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provider_data_validator="llama_stack.providers.remote.vector_io.weaviate.WeaviateRequestProviderData",
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@ -541,7 +544,7 @@ See [Weaviate's documentation](https://weaviate.io/developers/weaviate) for more
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InlineProviderSpec(
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api=Api.vector_io,
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provider_type="inline::qdrant",
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pip_packages=["qdrant-client", "chardet", "pypdf"],
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pip_packages=["qdrant-client"] + DEFAULT_VECTOR_IO_DEPS,
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module="llama_stack.providers.inline.vector_io.qdrant",
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config_class="llama_stack.providers.inline.vector_io.qdrant.QdrantVectorIOConfig",
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api_dependencies=[Api.inference],
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@ -594,7 +597,7 @@ See the [Qdrant documentation](https://qdrant.tech/documentation/) for more deta
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api=Api.vector_io,
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adapter_type="qdrant",
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provider_type="remote::qdrant",
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pip_packages=["qdrant-client", "chardet", "pypdf"],
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pip_packages=["qdrant-client"] + DEFAULT_VECTOR_IO_DEPS,
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module="llama_stack.providers.remote.vector_io.qdrant",
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config_class="llama_stack.providers.remote.vector_io.qdrant.QdrantVectorIOConfig",
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api_dependencies=[Api.inference],
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@ -607,7 +610,7 @@ Please refer to the inline provider documentation.
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api=Api.vector_io,
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adapter_type="milvus",
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provider_type="remote::milvus",
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pip_packages=["pymilvus>=2.4.10", "chardet", "pypdf"],
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pip_packages=["pymilvus>=2.4.10"] + DEFAULT_VECTOR_IO_DEPS,
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module="llama_stack.providers.remote.vector_io.milvus",
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config_class="llama_stack.providers.remote.vector_io.milvus.MilvusVectorIOConfig",
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api_dependencies=[Api.inference],
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@ -813,7 +816,7 @@ For more details on TLS configuration, refer to the [TLS setup guide](https://mi
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InlineProviderSpec(
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api=Api.vector_io,
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provider_type="inline::milvus",
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pip_packages=["pymilvus[milvus-lite]>=2.4.10", "chardet", "pypdf"],
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pip_packages=["pymilvus[milvus-lite]>=2.4.10"] + DEFAULT_VECTOR_IO_DEPS,
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module="llama_stack.providers.inline.vector_io.milvus",
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config_class="llama_stack.providers.inline.vector_io.milvus.MilvusVectorIOConfig",
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api_dependencies=[Api.inference],
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102
uv.lock
generated
102
uv.lock
generated
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@ -1,5 +1,5 @@
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version = 1
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revision = 2
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revision = 3
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requires-python = ">=3.12"
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resolution-markers = [
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"(python_full_version >= '3.13' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version >= '3.13' and sys_platform != 'darwin' and sys_platform != 'linux')",
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@ -349,30 +349,30 @@ wheels = [
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[[package]]
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dependencies = [
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{ name = "s3transfer" },
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[[package]]
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[[package]]
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@ -551,7 +551,7 @@ wheels = [
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[[package]]
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@ -582,13 +582,13 @@ dependencies = [
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{ name = "typing-extensions" },
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{ name = "uvicorn", extra = ["standard"] },
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[[package]]
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@ -1286,19 +1286,6 @@ wheels = [
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{ url = "https://files.pythonhosted.org/packages/5a/96/44759eca966720d0f3e1b105c43f8ad4590c97bf8eb3cd489656e9590baa/grpcio-1.67.1-cp313-cp313-win_amd64.whl", hash = "sha256:fa0c739ad8b1996bd24823950e3cb5152ae91fca1c09cc791190bf1627ffefba", size = 4346042, upload-time = "2024-10-29T06:25:21.939Z" },
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[[package]]
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{ url = "https://files.pythonhosted.org/packages/37/4c/e5b3c67fa2b735a572d06095f524f6e2e0f9b47bb99f3c91b9fe3e291a88/weaviate_client-4.16.5-py3-none-any.whl", hash = "sha256:1c5002ea72ba285c3c000a01d498267f8c3da51acf19d0f321f3f8ecbb58411a", size = 597199, upload-time = "2025-08-01T09:29:04.385Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/10/1a/fc66f5f33961351c759d56453d18176849da8f64186c941183bb574b808b/weaviate_client-4.16.9-py3-none-any.whl", hash = "sha256:8b4adabaec0d513edef94c8c1de61c89a86eba3b63a4dc1acdfc9580e80199f4", size = 579098, upload-time = "2025-08-20T15:00:01.882Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
|
|
@ -5279,11 +5263,11 @@ wheels = [
|
|||
|
||||
[[package]]
|
||||
name = "xmltodict"
|
||||
version = "1.0.2"
|
||||
version = "0.14.2"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/6a/aa/917ceeed4dbb80d2f04dbd0c784b7ee7bba8ae5a54837ef0e5e062cd3cfb/xmltodict-1.0.2.tar.gz", hash = "sha256:54306780b7c2175a3967cad1db92f218207e5bc1aba697d887807c0fb68b7649", size = 25725, upload-time = "2025-09-17T21:59:26.459Z" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/50/05/51dcca9a9bf5e1bce52582683ce50980bcadbc4fa5143b9f2b19ab99958f/xmltodict-0.14.2.tar.gz", hash = "sha256:201e7c28bb210e374999d1dde6382923ab0ed1a8a5faeece48ab525b7810a553", size = 51942, upload-time = "2024-10-16T06:10:29.683Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/c0/20/69a0e6058bc5ea74892d089d64dfc3a62ba78917ec5e2cfa70f7c92ba3a5/xmltodict-1.0.2-py3-none-any.whl", hash = "sha256:62d0fddb0dcbc9f642745d8bbf4d81fd17d6dfaec5a15b5c1876300aad92af0d", size = 13893, upload-time = "2025-09-17T21:59:24.859Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/d6/45/fc303eb433e8a2a271739c98e953728422fa61a3c1f36077a49e395c972e/xmltodict-0.14.2-py2.py3-none-any.whl", hash = "sha256:20cc7d723ed729276e808f26fb6b3599f786cbc37e06c65e192ba77c40f20aac", size = 9981, upload-time = "2024-10-16T06:10:27.649Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue